1. Note: This PowerPoint is only a summary and your main source should be the book. 4-2 Addition Rules for Probability Instructor: Alaa saud CHAPTER 4

2.  Two events are mutually exclusive events if they cannot occur at the same time (i.e., they have no outcomes in common) Mutually Exclusive P(A or B)=P(A)+P(B) Mutually Exclusive Not Mutually Exclusive P(A or B)=P(A)+P(B)- P(A and B ) Not Mutually Exclusive Addition Rule Note: This PowerPoint is only a summary and your main source should be the book.  This means that P(A∩B)= 0 i.e. the two event cannot occur at the same time. P (S) AB  Where P(A∩B) is the probability both A and B occur. P (S) B A P(A∩B)

3. Example 4-15 : Determining whether the two events are mutually exclusive. a. Randomly selecting a female student. Randomly selecting a student who is a junior b. Randomly selecting a person with type A blood. Randomly selecting a person with type B blood d. Randomly selecting a person who is under 21 years of age. Randomly selecting a person who is over 30 years of age. b. Rolling a die and getting an odd number. Rolling a die and getting a number less than 3. These event are not mutually exclusive These event are mutually exclusive These event are not mutually exclusive These event are mutually exclusive

4. Example 4-17: A city has 9 coffee shops: 3 Starbucks, 2 Caribou Coffees, and 4 Crazy Mocho Coffees. If person selects one shope at random to buy a cup of coffee, Find the probability that it is either a Starbucks or Crazy Mocho Coffees P( Starbucks or Crazy Mocho )= P( Starbucks ) + P( Crazy Mocho ) The events are mutually exclusive Solution :

5. Example 4-17: In a survey, 8%of the respondent said that their favorite ice cream flavor is cookies and cream, and 6%like mint chocolate chip. If person selected at random Find the probability that her favorite ice cream flavor is either cookies and cream or mint chocolate chips. Solution : P( cookies and cream or mint chocolate chips ) =P( cookies and cream ) + P( mint chocolate chips ) The events are mutually exclusive

6. Example 4-21: In a hospital unit there are 8 nurses and 5 physicians ;7 nurses and 3 physicians are females. If a staff person is selected,find the probability that the subject is a nurse or a male. Solution : StaffFemalesMalesTotal Nurses718 Physicians325 Total10313 Note: This PowerPoint is only a summary and your main source should be the book.

7. Example 4-22: The probability of person driving while intoxicated is 0.32, the probability of a person having a driving accident is 0.09, and the probability of a person having driving accident while intoxicated is 0.06. What is the probability of a person driving while intoxicated or having driving accident? P( intoxicated or accident )= P( intoxicated ) + P( accident )-P( intoxicated and accident ) =0.32+0.09-0.06=0.35 Solution : The events are not mutually exclusive

8. Which one of these events is not mutually exclusive? A)Select a student in your university: The student is married, and the student is a business major. B) Select a ball from bag: It is a football, and it is a basket ball. C) Roll a die: Get an even number, and get an odd number. D) Select any course: It is an Arabic course, and it is a Statistics course.

9. Determine which events are mutually exclusive. a) Select a student in your college: The student is in the second year and the student is a math major. b) Select a child: The child has black hair and the child has black eyes. c) Roll a die: Get a number greater than 2 and get a multiple of 3. d) Roll a die: Get a number greater than 3 and get a number less than 3.

10. If P(A) = 0.3, P(B) = 0.4, and A,B are mutually exclusive events, find P(A and B). a) 0 b) 1 c) 0.12 d) 0.7

11. 4-3 The Multiplication Rules and and Conditional Probability Note: This PowerPoint is only a summary and your main source should be the book.

12.  Two events A and B are independent events if the fact that A occurs does not affect the probability of B occurring. Note: This PowerPoint is only a summary and your main source should be the book. Multiplication Rules P(A and B)=P(A).P(B) Independent P(A and B)=P(A).P(B|A) Dependent

13. Example 4-23: A coin is flipped and a die is rolled. Find the probability of getting a head on the coin and a 4 on the die Solution :

14. Example 4-25: An urn contains 3 red balls, 2blue balls and 5 white balls.A ball is selected and its color noted.Then it is replaced.A second ball is selected and its color noted. Find the probability of each of these. Note: This PowerPoint is only a summary and your main source should be the book.

16. Example 4-27: Approximately 9% of men have a type of color blindness that prevents them from distinguishing between red and green. If 3 men are selected at random, find the probability that all of them will have this type of red-green color blindness. Solution : Let C denote red – green color blindness. Then P(C and C and C) = P(C). P(C). P(C) = (0.09)(0.09)(0.09) = 0.000729 Note: This PowerPoint is only a summary and your main source should be the book.

17. Example 4-28: In a rcent survey,33% of the respondent said that they feel that they are overqualified (O) for their present job. Of these, 24% said that they were looking for a new job (J). If a person is selected at random, find the probability that the person feels that he is overqualified and is also looking for a new job Solution :

18. Example 4-29: World Wide Insurance Company found that 53% of the residents of a city had homeowner’s insurance (H) with the company.Of these clients,27% also had automobile insurance (A) with the company.If a resident is selected at random,find the probability that the resident has both homeowner’s and automobile insurance with World Wide Insurance Company. Solution : Note: This PowerPoint is only a summary and your main source should be the book.

19. Example 4-31: Box 1 contains 2 red balls and 1 blue ball. Box 2 contains 3 blue balls and 1 red ball. A coin is tossed. If it falls heads up,box1 is selected and a ball is drawn. If it falls tails up,box 2 is selected and a ball is drawn. Find the probability of selecting a red ball. Box 2 Box 1 Note: This PowerPoint is only a summary and your main source should be the book.

20. Solution : Coin Box 1 Box 2 Red Blue Note: This PowerPoint is only a summary and your main source should be the book.

21. Q(1):box1 contains 20% defective transistors,box2 contains 30% defective transistors, and box3 contains 50% defective transistors. A die is rolled. If the number that appears is greater than 3, a transistor is selected from 1. If the number is less than 3, a transistor is selected from 2. If the number is 3, a transistor is selected from. Find the probability of selecting a defective transistor. a) 0.028 b) 1 c) 0.283 d) 0.03 Q(2): A die is rolled. What is the probability that the number rolled is greater than 2 and even number? 1/3

22. Q(3):Box A contains 4 red balls and 2 white balls. Box B contains 2 red balls, 2 white balls. A die is rolled first and if the outcome is an even number a ball is chosen at random from Box A, and if the outcome is an odd number a ball is randomly chosen from Box B. Find the probability that a red ball is chosen?

23. Conditional Probability Note: This PowerPoint is only a summary and your main source should be the book.

24. Conditional probability  is the probability that the second event B occurs given that the first event A has occurred. Note: This PowerPoint is only a summary and your main source should be the book.

25. Example 4-32: A box contains black chips and white chips. A person selects two chips without replacement. If the probability of selecting a black chip and a white chip is, and the probability of selecting a black chip on the first draw is, find the probability of selecting the white chip on the second draw,given that the first chip selected was a black chip. Note: This PowerPoint is only a summary and your main source should be the book.

26. Solution : Let B=selecting a black chip W=selecting a white chip Hence, the probability of selecting a while chip on the second draw given that the first chip selected was black is Note: This PowerPoint is only a summary and your main source should be the book.

27. Example 4-34: Survey on Women In the Military A recent survey asked 100 people if they thought women in the armed forces should be permitted to participate in combat. The results of the survey are shown.

28. Solution : a. Find the probability that the respondent answered yes (Y), given that the respondent was a female (F).

29. b. Find the probability that the respondent was a male (M), given that the respondent answered no (N).

30. Probabilities for “At Least” A coin is tossed 3 times.Find the probability of getting at least 1 tail ? Note: This PowerPoint is only a summary and your main source should be the book.

31. Example 4-36: A coin is tossed 5 times. Find the probability of getting at least 1 tail ? E=at least 1 tail E= no tail ( all heads) P(E)=1-P(E) P(at least 1 tail)=1- p(all heads) Note: This PowerPoint is only a summary and your main source should be the book.

32. For Example: It has been found that 8% of all automobiles on the road have defective brakes. If 8 automobiles are stopped and checked by the police,find the probability that at least one will have defective brakes. Solution : P(at least one will have defective brakes) = 1 – p( all have not defective brakes) = 1- (1- 0.08) 8 = 1- (0.92) 8 = 0.487

33. 1)It is reported that 27% of working women use computers at work. Choose 5 working women at random. A. Find the probability that at least 1 use a computer at work. B. Find the probability that at least 1 doesn’t use a computer at work. C.Find the probability that all 5 use a computer in their jobs. 2)Only 27% students take computer course. Choose 3 students at random. Find the probability that A.All 3 take computer course B.All 3 dose not take computer course C.At least 1 of three dose not take computer course?

34. 3) 70% of females have never been married choose 5 women find : A.The probability non have ever been married ? B.The probability all have been married ? C.At least 1 has been married ? D.At least 1 has been not married? 4) The probabilities of the events A and B are: P(A and B)=0.2, P(B│A)=0.3 Find the ?